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UNC-Chapel Hill GEOG 070 - Lab #5 Satellite Image Data

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IMPORTANTData for the AssignmentJ:.isishtmlcourses2005springgeog070006datalab5ch_tm970518.imgJ:.isishtmlcourses2005springgeog070006datalab5ch_doq_east.jpgImporting GPS points into ArcViewGEOG 070 – Spring 2005Lab #5: Satellite Image DataDue Dates: Wednesday Labs: Tuesday, March 29, 2005 by 5:00 PMThursday Labs: Wednesday, March 30, 2005 by 5:00 PMThis assignment is intended to give you some basic hands-on experience working withremotely sensed images. You’ll examine a Landsat TM image and a digital aerial photofor the Chapel Hill/Carrboro area. The field of satellite image processing is extremely complex and requires considerablestudy and practice to become skilled. Consider this assignment as a fun “taste” of theactual process. If you find this interesting, you may wish to take the remote sensingcourse offered by the Geography department. IMPORTANTBefore you begin loading the data for this project, you will need to enable (check) theImage Analysis and Spatial Analyst extensions in Arc View under File | Extensions.These are add-on modules that provide viewing and basic image processing functionality.Save your project now, and don’t forget to save it often while doing the assignment. Data for the AssignmentJ:\.isis\html\courses\2005spring\geog\070\006\data\lab5\ch_tm970518.imgThis is an image from Landsat TM taken on May 18, 1997.J:\.isis\html\courses\2005spring\geog\070\006\data\lab5\ch_doq_east.jpgThis image is a Digital Orthophoto Quarter Quadrangle (DOQQ), or a digital aerial photo, of Chapel Hill.Band information for Landsat Thematic Mapper- Band 1: Blue visible- Band 2: Green visible- Band 3: Red visible- Band 4: Near infrared- Band 5: Middle infrared- Band 6: Thermal (upper) infrared (60 meter spatial resolution)- Band 7: Middle infrared*You will be graded on the 10 questions in this assignment, and the 2 maps. Make sure your maps have the following elements: 1) descriptive title, 2) descriptive legend, 3) your name, and 4) data source. Questions: 7 points each (70 points total)Maps: 15 points each (30 points total)In this first section of the lab, you will compare two images of different spatialresolutions, as well as determine three resolutions for image data in ArcView.The data sources for these maps are: Map 1: Digital Orthophoto Quarter Quadrangle (DOQQ), of Chapel Hill, NC, andLandsat TM image taken on May 18, 1997Map 2: Landsat TM image taken on May 18, 1997, and field observations. **NOTE** Themes should be added with data source set to “Image Analysis Data Source.” Todo this, click on the Add Theme button in the tool bar. When the Add Theme Directory pops up,choose Image Analysis Data Source from Data Source Types in the lower left corner. If you don’tdo this, you won’t be able to see .img files in your View.1. Create a new view. Add the Landsat TM image for Chapel Hill(ch_tm970518.img). Name this view Chapel Hill Landsat TM (Under ViewProperties). 2. Open a new view and name it Chapel Hill Air Photo. Set the Map Units andDistance Units to Meters.3. From the class data directory, add the image ch_doq_east.jpg to the ChapelHill Air Photo View.4. Use the Image Analysis Data Source option. This image is a DigitalOrthophoto Quarter Quadrangle (DOQQ), or a digital aerial photo, of thesame area. 5. In the Chapel Hill Landsat TM View, make ch_tm970518.img active and clickthe Zoom to Image Resolution button . This button will zoom the imageto its full resolution, which is determined by the image’s spatial resolution. 6. Determine the Various resolutions of ch_tm970518.img.6.a. Select Theme | Properties and click on the icon titled Information.6.b. The information titled Cell Size is the spatial resolution of the image inmeters.6.c. The information titled Data Type is the radiometric resolution of the image.6.d. The information titled Number Bands is the spectral resolution of the image.(Q1) List the Spatial, Radiometric and Spectral resolutions of ch_tm970518.img.7. In the Chapel Hill Air Photo View, zoom to Image Resolution forch_doq_east.jpg.(Q2) List the Spatial, Radiometric and Spectral resolutions of ch_doq_east.jpg.8. Compare the multispectral Landsat Thematic Mapper image with thepanchromatic aerial photo. Pay particular attention to the details that are mostnoticeable in each of the two images.2(Q3) What do the different spatial resolutions tell you about each image?(Q4) What features are more noticeable in the Landsat TM image than in the DOQQ?(Q5) What features are more noticeable in the DOQQ image than in the Landsat TM?Using both the Chapel Hill Landsat TM and Chapel Hill Air Photo views, locate an areaof the images where a particular feature is better represented by the DOQQ. Create alayout containing both views. Make sure the layout includes all of the information listedat the beginning of the lab, as well as an explanation of what ground feature is bettershown with the DOQQ. Export this map as a JPEG, and save it to your student folder aslab5_map1.jpgImage InterpretationCreate a new view. Add the Landsat TM image for Chapel Hill (ch_tm970518.img).Name this view Chapel Hill Landsat TM_2 (Under View Properties). The image will appear in the ArcView default color combination for an image of 6 ormore bands, which is a 432 False Color Composite. Use the picture below to orientyourself with the image.Change the display properties of the image by using the legend editor. Notice that theLegend Editor looks differently than it does for most ArcView data. Under Legend Type,change the selection from Multi-Band to Single Band, then click apply. The image willchange to a gray scale of only Band-1.3Keep the Legend Editor open. Click on Layer 1 field and select another layer number.Click Apply to display that band.View each of the seven bands individually, paying attention to the differences in each ofthem. (Q6) In Band 4, the brightest areas are most likely what type of land cover?(Q7) In which band can the roads be most clearly seen? In which band can vegetationbe most clearly seen? Change the Legend Type back to back to Multi-Band in the Legend Editor. Click Apply.The image will revert to a 432 False Color composite.(Q8) In the 432 False Color Composite, what are the red features? (Hint: Refer to the band information for


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